View clinical trials related to Lung Cancer.
Filter by:Multi-center randomized controlled study designed to compare the diagnostic yield of ION™ Endoluminal System with electromagnetic navigation bronchoscopy in patients undergoing transbronchial sampling procedure of peripheral pulmonary nodules.
Solid tumors pose significant challenges in current therapeutic approaches. Targeted therapy has emerged as a promising avenue, aiming to enhance treatment efficacy while minimizing adverse effects. This clinical trial focuses on an innovative combination of two targeted inhibitors, Palbociclib and Bevacizumab, for their potential synergistic effects in addressing these challenging malignancies. Moreover, this study incorporates a molecular approach by considering Long Non-Coding RNAs (LncRNAs) as biomarkers. Initiating with a focus on colorectal cancer, the study aims to expand its scope to other solid tumors, including lung, breast, ovarian and other cancers. Palbociclib, a cyclin-dependent kinase 4/6 (CDK4/6) inhibitor, disrupts the cell cycle progression, particularly in cancer cells with specific molecular characteristics. Bevacizumab, a vascular endothelial growth factor (VEGF) inhibitor, targets angiogenesis-a critical process for tumor growth and metastasis. The rationale behind combining these agents lies in their complementary mechanisms of action, potentially leading to enhanced antitumor effects. LncRNAs have shown promise in predicting treatment response and prognosis in various cancers, providing an additional layer of precision to the treatment strategy. By elucidating the molecular basis through LncRNA analysis, the trial aims to tailor the treatment to the specific molecular profile of each patient, ultimately striving for better outcomes and improved survival rates. This novel combination therapy, coupled with a personalized biomarker-driven approach, represents a cutting-edge strategy in the pursuit of more effective and individualized treatment for solid tumors.
This is a single center, clinical trial evaluating the relevance of intratumoral washing for detection of generic alteration with Next Generation Sequencing.
Lung cancer screening is currently not recommended in non-smokers due to paucity of evidence. Emerging evidence suggests that first-degree family history is a strong risk factor for lung cancer in Asian non-smokers. In Asia, lack of resource is a major challenge in successful implementation of lung cancer screening. Artificial intelligence (AI) is a promising tool to overcome this resource. In this study, we aim to study the clinical utility and demonstrate the feasibility of using an AI assisted programme for lung cancer screening in Asian non-smokers with a positive family history. This is a single-arm non-randomized lung cancer screening study. 1000 non-smokers, age 50 to 75 year old, with a first-degree family history of lung cancer, will be enrolled. Participants will undergo low does computed tomography (LDCT) of thorax and blood taking at enrolment. LDCT films will be interpreted by AI softwares for presence of lung nodules. Participants with lung nodules will be further investigated and followed up according to the risk of malignancy. The primary endpoint is the prevalence of early-staged lung cancer detected by first-round LDCT thorax in this population.
The goal of this clinical trial is to implement lung cancer screening in a targeted high-risk population of heavy (ex-)smokers in Flanders (Belgium). This implementation study will investigate the participation rate of eligible high risk (ex-)smokers in the First Line Zone South East Region of Antwerp (ZORA) in a LDCT screening program, combined with smoking cessation.
The goal of this retrospective cohort analysis is to discover the impact of the involvement extent of tumor-draining lymph nodes (TDLNs) in patients who received neoadjuvant immunochemotherapy. The main question it aims to answer is the role of TDLN in the prediction of treatment effectiveness. Researches will compare tumor-draining lymph nodes metastasis (mTDLNs) group and non-draining lymph nodes metastasis (mNDLNs) group to see whether different metastatic patterns of mediastinal lymph nodes can indicate the treatment effectiveness.
The goal of this clinical trial is to compare breath samples from patients with lung cancer, those with stable lung nodules, and individuals without lung cancer. The main questions it aims to answer are whether breath patterns are different in these groups and to see if breath patterns change after treatment in patients with lung cancer. Participants will be asked to provide one breath sample, and two if they get treated. They will also be asked to fill out a questionnaire about their background and medical history.
Lung cancer survival rates are low for intersectional underserved groups. Lung cancer stigma and intersectional stigma related to minoritized group status leads to increased morbidity and mortality and health disparities. Mindfulness interventions have been shown to decrease stigma and the negative impacts of stigma, however, these interventions have never been tested to decrease lung cancer stigma specifically. In this study, the investigators will use Community Based Participatory Research framework and MOST methodology to build and optimize a brief virtual mindfulness intervention to decrease lung cancer stigma, through first building a diverse coalition of lung cancer patients on a participatory action council.
Robotic surgical systems have become a promising surgical assistance system, with unique advantages such as 3D high-definition visual system, highly flexible wrist-jointed instruments, and automatic fitering of hand tremors. Robotic surgical systems is applied in various fields including urology, general surgery, cardiothoracic surgery, head and neck surgery, and gynecology. Currently, the Da Vinci surgical robot system is the most widely used robot system globally. However, the Da Vinci robot system for single-port laparoscopic surgery has not yet been launched in China. Therefore, the investigators conduct a prespective, single-center study to evaluate the efficacy and safety of single-port surgical robot system in thoracic surgery.
This study proposes to increase Lung-cancer screening (LCS) in the Bronx, New York. Despite strong evidence that Lung-cancer screening (LCS) can reduce Lung cancer (LCa) deaths, low-dose computed tomography (LDCT) referral rates by clinicians are very low and there is poor adherence with LCS by patients. Both provider and patient barriers may be amenable to systemic improvements in support, coordination and infrastructure for screening. The investigator team hypothesizes that the implementation of a Central Screening Unit (CSU) that shifts routine workflow attributed to LCS (e.g., collection of smoking history, determination of eligibility, shared decision making and arranging follow-up) away from busy practices (usual care) and that offers patients an array of navigation and support services will increase the uptake of LCS guidelines and subsequent low-dose computed tomography (LDCT) screening scans in a low-income, predominately Hispanic and Black catchment area. The proposed study represents a unique opportunity to test this hypothesis in the context of the roll out of a CSU as a significant new component of the Montefiore-Einstein health system. The investigator team will examine whether and how the CSU facilitates LCS uptake and retention of patients. This study is powered to test whether CSU reduces proportion of late-stage lung cancer diagnoses in the Bronx, New York.